Correction of technical bias in clinical microarray data improves concordance with known biological information

被引：52

作者：

Eklund, Aron C. ^{[1
,2
]}

Szallasi, Zoltan ^{[1
,2
]}

机构：

[1] Harvard Univ, Sch Med, Childrens Hosp Informat Program, Harvard Mit Div Hlth Sci & Technol, Boston, MA 02115 USA

[2] Tech Univ Denmark, Ctr Biol Sequence Anal, Dept Syst Biol, DK-2800 Lyngby, Denmark

来源：

GENOME BIOLOGY | 2008年 / 9卷 / 02期

关键词：

D O I：

10.1186/gb-2008-9-2-r26

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

The performance of gene expression microarrays has been well characterized using controlled reference samples, but the performance on clinical samples remains less clear. We identified sources of technical bias affecting many genes in concert, thus causing spurious correlations in clinical data sets and false associations between genes and clinical variables. We developed a method to correct for technical bias in clinical microarray data, which increased concordance with known biological relationships in multiple data sets.

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页数：8

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